Significantly reduces time and cost for data preparation and AI model development.
Achieves high accuracy (99%) in data labeling.
Supports a broad range of data types and annotation techniques.
Offers robust security and flexible hosting options.
Provides comprehensive project management and analytics for quality control.

Cons

Specific details on the extent of customization for custom export formats are not explicitly detailed.
The free plan has limitations on data credits and seats, suitable mainly for researchers or small projects.
Advanced features like IP Whitelisting and Whitelabeling are only available in the Enterprise plan.

What is Labellerr?

Labellerr is a comprehensive data labeling and image annotation software designed to help AI teams prepare high-quality datasets efficiently. It leverages automated annotation, advanced analytics, and smart QA to process millions of images and thousands of hours of video in weeks, significantly reducing the time and cost associated with data preparation for AI models. The platform supports a wide range of data types including images, videos, PDFs, text, and audio, and integrates seamlessly with cloud services like AWS, GCP, and Azure. Labellerr offers features such as prompt-based labeling, model-assisted labeling, active learning, and robust project management with advanced analytics, ensuring 99% accurate labels and a 90% reduction in data preparation time. It also provides enterprise-grade security, MLOps integration, and flexible export formats to streamline the entire AI development pipeline.

Available on: Web

Louis Corneloup Updated May 26, 2026 · how we evaluate Source labellerr.com ↗

Ratings Across the Web

4.8 (21 reviews)

Labellerr holds an aggregate rating of 4.8 out of 5 from 21 reviews across G2, last checked September 17, 2026.

G2 21 reviews

4.8/5

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

Automated Labeling (Prompt-based, Model-assisted, Active Learning)
Support for multiple data types (images, videos, PDFs, text, audio)
Smart Quality Assurance (pre-trained model and ground truth based)
MLOps Integration (GCP Vertex AI, AWS Sagemaker, custom environments)
Project Management with Advanced Analytics
Enterprise-Grade Security & Privacy (Auth0, TLSv1.2+, AES-256 encryption)
Flexible Data Export Formats (CSV, JSON, COCO, Pascal VOC, Custom)
API Access with SDK

Pricing Plans

Pricing checked Oct 1, 2026

Labellerr plans and prices, checked October 2026
Plan	Price	Details
Researcher Plan	Free	2,500 files 1 seat 1 workspace +2 more Show less All data type support 100 projects
Pro Plan	$499 / mo	Everything in Free, plus: 50,000 data credits with the option to buy extra credits 10 seats and the option to add on extra seats +3 more Show less Unlimited projects Advanced automation features (SAM, SAM 2, Active learning, and model-assisted labeling) Human in the loop services
Enterprise Plan	Custom	Everything in Team, plus: Multiple workspaces Unlimited data credits and seats +3 more Show less Single sign-on (SSO) Enterprise SLA & support Private cloud & on-premise

Calculate your cost View full pricing

Is Labellerr worth the price?

Good value

The Researcher Plan is very generous, offering substantial features for free, making it highly accessible for individual users.

The jump to the Pro Plan at $499/month is significant, but includes advanced automation and human-in-the-loop services, justifying the cost for serious AI development. This pricing structure is best for individuals or small teams starting out, scaling up to larger organizations with custom needs.

Full Labellerr pricing: every plan, hidden costs and alternatives

Reviews

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4.8/5

Across 21 verified user reviews on G2

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Best Labellerr Alternatives

Top alternatives based on features, pricing, and user needs.

SuperAnnotate Paid

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CVAT Freemium

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Labelbox Freemium

The data factory for AI teams building at the frontier, from reinforcement learning to custom evaluations.

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Scale AI Paid

Building reliable AI systems for critical decisions and advanced agentic capabilities.

Dataloop Paid

Modernize your data stack for the next wave of AI with a platform built for unstructured data and multimodal pipelines.

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

Labellerr vs SuperAnnotate Head-to-head: features, pricing, who wins Labellerr vs CVAT Head-to-head: features, pricing, who wins Labellerr vs Labelbox Head-to-head: features, pricing, who wins

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Labellerr FAQ

What types of data can be labeled using Labellerr?

Labellerr supports a wide array of data types including images, videos, PDFs, text, and audio, allowing users to manage diverse project needs within a single platform.

How does Labellerr ensure the quality and accuracy of labels?

Labellerr employs a combination of automated annotation, advanced analytics, and smart QA processes, including pre-trained model-based and ground truth-based quality assurance, to achieve up to 99% accurate labels.

Can Labellerr integrate with existing cloud infrastructure and MLOps pipelines?

Yes, Labellerr allows users to connect datasets from cloud services like AWS, GCP, and Azure, and offers extensive integration support to push labeled data to AI development environments such as GCP Vertex AI, AWS Sagemaker, or custom-made systems.

What security measures does Labellerr implement to protect customer data?

Labellerr prioritizes data protection with enterprise-grade security. It uses Auth0 for authentication, TLSv1.2+ for data in transit, AES-256 encryption for all data at rest, and offers customer hosting options on preferred cloud platforms.

What are the options for exporting annotated data from Labellerr?

Annotated data can be exported in various formats with a single click, including CSV, JSON, COCO, Pascal VOC, and custom formats to fit specific project requirements.

Source: labellerr.com

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